A major goal of combustion research is to develop accurate, tractable, predictive models for
the phenomena occurring in combustion devices, which predominantly involve turbulent …

Compared to other simulation approaches utilized for modeling turbulent reacting flows with
detailed chemistry, probability density function (PDF) methods offer several advantages …

Predictive simulation of the combustion process in engine is crucial to understand the
complex underlying physicochemical processes, improve engine performance, and reduce …

In this work we propose a chemistry tabulation approach based on Rate-Controlled
Constrained Equilibrium (RCCE) and Artificial Neural Networks (ANNs) and apply it to two …

Stochastic Lagrangian models provide a simple and direct way to model turbulent flows and
the processes that occur within them. This paper provides an introduction to this approach …

We report a large-eddy simulation (LES)/probability density function (PDF) study of a non-
premixed CO/H2 temporally-evolving turbulent planar jet flame, which has previously been …

The chemical kinetics ODEs arising from operator-split reactive-flow simulations were solved
on GPUs using explicit integration algorithms. Nonstiff chemical kinetics of a hydrogen …

The one-dimensional turbulence (ODT) model resolves a full range of time and length
scales and is computationally efficient. ODT has been applied to a wide range of complex …

Detailed chemical kinetics is an integral component for predictive simulation of turbulent
flames and is important for reliable prediction of flames and emissions. Major challenges of …

Jacobian clustering is proposed to reduce the computational cost associated with matrix
operations encountered in the Newton iteration in fully coupled, fully implicit schemes for …